AIXE Artificial Intelligence eXecution Endpoints Inventor and protocol driver: Gregory Oglethorpe

Live Interface Layer

AIXE becomes operational through discovery, self-description, and contracts that teach the caller how to succeed.

Discovery and contracts hold the protocol's most distinctive runtime behavior: the minimal discovery file, the self-describing endpoint, and the field and error contracts that make a live surface parseable and understandable.

This layer makes AIXE operational as an interface model for the world immediately in front of us.

Discovery entry

The protocol needs a first handshake that is simple enough to be universal.

AIXE uses aixe.ai as a deliberately minimal entry point. It does not contain the whole protocol manual. It declares that the service is AIXE-aware and points the caller toward the public capabilities worth inspecting more deeply.

The simpler the discovery entry, the easier it becomes to treat it as a habit of the web.

Table of contents

The discovery file orients the caller without overwhelming it with every field rule in the system.

Machine handshake

A lightweight discovery entry makes it easier for autonomous clients to identify whether a service is ready for richer contract interaction.

Endpoint explanation

The endpoint itself answers the obvious operational questions.

Once a caller discovers a route, it can request the live contract for that route and receive an explanation of purpose, execution method, field requirements, identity assumptions, and likely error structures. That shifts operational truth into the place where action happens.

AIXE discovery is not documentation adjacent to the endpoint. It is documentation inseparable from the endpoint.

Purpose and method

The contract tells the caller what the operation does and how it expects to be invoked.

Identity and context

The caller also sees what roles, permissions, or context conditions change how the endpoint behaves.

Corrective contract

Field semantics and error semantics are explicit because the interface teaches through both.

A field list without meaning does not help enough, and an error string without correction guidance helps even less. AIXE pairs field-level explanation with structured, field-aware error responses so the caller can move from failure toward success more quickly.

The corrective loop is part of the protocol's usability story, not a decorative extra.

Meaningful fields

Each field declares not just its type, but its business meaning, requirement status, and relevant constraints.

Recoverable errors

A well-formed error contract tells the caller what was wrong and what a valid next attempt looks like.

Related Protocol Paths

Three deeper doorways into this area of AIXE.

Each path extends the same protocol idea into a more focused treatment, preserving the connection between the high-level claim and the detailed mechanism.

aixe.ai Discovery

How the minimal aixe.ai file acts as the first handshake into an AIXE-aware service.

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Endpoint Self-Description

How AIXE uses live endpoint description to replace brittle guesswork with runtime guidance.

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Field and Error Contracts

Why AIXE gives field semantics and corrective errors an elevated role in the contract.

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Protocol Continuation

Why this layer carries the protocol

AIXE is persuasive because it makes the endpoint itself part of the teaching loop.

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